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Due to longer average path length and lower network efficiency, the failure diffusion trend of equality-based CISN shows the curve of Type-S, and the diffusion rate is smooth and slow.
The authors found unequivocally that temporal effects influenced new drug uptake significantly—however, the sign varied with the convexity of the temporal diffusion trend.
CDM could help to achieve the maximum utilization potential more rapidly as compared to the current diffusion trend if supportive policies are introduced.
The projections based on the past diffusion trend indicate that in India, even with highly favorable assumptions, the dissemination of wind power projects is not likely to reach its maximum estimated potential in another 15 years.
To explore the spatial and temporal diffusion trend of pandemic influenza in mainland China, a map of pandemic influenza spread was developed using trend surface analysis, which is a spatial smoothing method that uses polynomials with geographic coordinates, as defined by the central point of each county (12– 12).
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Using data from field-work and secondary sources, the authors analyse the diffusion trends during both periods and show the interrelation between technological aspects and societal factors specific to the local, national and international levels in determining the speed and success of the diffusion process.
Magnetism is shown to have a profound effect on the solute diffusion trends across the 3d TM series: the existence of a local minimum in the diffusion energy barrier is accompanied by the occurrence of a maximum in the magnetic moment.
Reimbursement and legal/regulatory issues are claimed to be the most common barriers explaining the diffusion trends for many telemedicine applications [ 44].
We see this trend as an instance of international norm diffusion and point to two causal mechanisms that have facilitated it: mimesis and professionalism.
EIS experiments confirmed the chemical diffusion coefficient trend and also showed a decrease in Li4Ti5O12/n-Ag Li4Ti5O12/n-Agpelectrodes
The traffic congestion duration and spatial diffusion evolution trend are predicted respectively based on long short-term memory (LSTM), which is a typical time-recurrent neural network of deep learning.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com